CN110135071A - Single axis fiber gyro reliability checking method and system based on polynary performance degradation - Google Patents
Single axis fiber gyro reliability checking method and system based on polynary performance degradation Download PDFInfo
- Publication number
- CN110135071A CN110135071A CN201910408484.6A CN201910408484A CN110135071A CN 110135071 A CN110135071 A CN 110135071A CN 201910408484 A CN201910408484 A CN 201910408484A CN 110135071 A CN110135071 A CN 110135071A
- Authority
- CN
- China
- Prior art keywords
- degradation
- optical fibre
- reliability
- data
- fibre gyro
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C25/00—Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Gyroscopes (AREA)
Abstract
The present invention relates to a kind of single axis fiber gyro reliability checking methods based on polynary performance degradation, comprising: carries out degeneration modeling to optical fibre gyro zero bias amount of degradation and constant multiplier amount of degradation: building optical fibre gyro zero bias performance reliability model；Construct optic fiber gyroscope graduation factor Reliability Function model；Construct the zero bias and constant multiplier degradation failure joint distribution function of optical fibre gyro；The reliability collective model of optical fibre gyro is calculated, output includes the detection data of optical fibre gyro reliability information.The invention also discloses a kind of systems for implementing the single axis fiber gyro reliability checking method based on polynary performance degradation.Test data needed for the present invention is obtained by optical fibre gyro reliability detection system, calculate optical fibre gyro reliability comprehensive function, obtain current corresponding tested optical fiber gyro reliability index, the current tested optical fiber gyro reliability level of visual evaluation, for the production or design of optical fibre gyro, the technical support of product improvement is provided.
Description
Technical field
The present invention relates to fail-safe analysis and detection technique fields, are based especially on the uniaxial optical fibers top of polynary performance degradation
Spiral shell reliability checking method and system.
Background technique
With industrial fast-developing and equipment the improvement in China, the q&r of product is required increasingly
It is high.Optical fibre gyro is the critical component of inertial navigation system, is widely used in the military affairs such as sea, land and air, civil field, is had long-term
The features such as storage, first use, degradation failure.By structure point, optical fibre gyro is divided into uniaxial and multi-axis fiber optic gyroscope, wherein uniaxial
Optical fibre gyro is most widely used, thus to the performance detection of single axis fiber gyro, effectively assessment single axis fiber gyro it is reliable
Property level is particularly important.How the reliability level of single axis fiber gyro is detected by effective method, it not only can be with
When requiring to further increase its performance level, it is indicated that the approach of Curve guide impeller, and accurately understanding uniaxial optical fibers top
After the performance level of spiral shell, the performance of entire inertia system work can be effectively evaluated.
It is deposited mostly for the parameter acquisition and detection system of single axis fiber gyro such as based on the detection system of RS232 at present
Low in the degree of automation, hardware circuit is more complex, and record, processing analysis of test data etc. are finished artificially, time-consuming big, and
And be not avoided that human error etc.；Meanwhile when carrying out the fail-safe analysis of single axis fiber gyro, it is directed to uniaxial optical fibers top mostly
The single performance of spiral shell carries out degradation analysis, and is presently considered there are mainly two types of the methods that polynary performance degradation is analyzed: (1) false
If mutually indepedent between multiple performance degradation processes or obey multivariate normal distributions, has the advantages that simple and quick, but analysis
But comprehensively, resultant error is larger；(2) consider the correlativity between polynary performance parameter, such as sent out using joint probability density
And state space method, its advantage is that fully considered the correlation between polynary performance degenerative process, but exist modeling it is difficult and
Computationally intensive problem.
Summary of the invention
The primary purpose of the present invention is that a kind of correlativity effectively described between polynary performance amount of degradation is provided, and
And calculate simple, the good single axis fiber gyro reliability checking method based on polynary performance degradation of extrapolation.
To achieve the above object, the invention adopts the following technical scheme: a kind of uniaxial light based on polynary performance degradation
Fine gyro reliability checking method, it is characterised in that: this method includes the steps that following sequence:
(1) to optical fibre gyro zero bias amount of degradation X1(t) and constant multiplier amount of degradation X2(t) degeneration modeling is carried out:
(2) optical fibre gyro zero bias performance reliability model is constructed；
(3) optic fiber gyroscope graduation factor Reliability Function model is constructed；
(4) zero bias and constant multiplier degradation failure Joint Distribution letter based on Frank Copula construction of function optical fibre gyro
Number；
(5) the reliability collective model of optical fibre gyro is calculated, is generated by optical fibre gyro Reliability Synthesis model and defeated
It out include the detection data of optical fibre gyro reliability information.
The step (1) specifically refers to:
X1(t)=μ1t+σ1B(t)、X2(t)=μ2t+σ2B (t), in formula, B (t) is standard Brownian movement form, μ1,σ1Point
Not Biao Shi zero bias degradation ratio and zero bias diffusion coefficient, μ2,σ2Constant multiplier degradation ratio and constant multiplier diffusion coefficient are respectively indicated,
μ is obtained by Maximum Likelihood Estimation Method1,σ1,μ2,σ2Estimated value
The step (2) specifically refers to:
Calculate zero bias degradation failure distribution functionWhereinThe respectively estimated value of zero bias degradation ratio and zero bias diffusion coefficient, Φ () are standard normal distribution function, w1Indicate zero
Inclined degradation failure threshold value, constructs optical fibre gyro zero bias performance reliability model
The step (3) specifically refers to:
Calculate constant multiplier degradation failure distribution function
WhereinThe respectively estimated value of constant multiplier degradation ratio and constant multiplier diffusion coefficient, Φ () are standardized normal distribution
Function, w2It indicates constant multiplier degradation failure threshold value, constructs optic fiber gyroscope graduation factor Reliability Function model
The step (4) specifically refers to:
Wherein, C () is tool
There is marginal distribution function F1(t)、F2(t) binary Copula function, F1It (t) is the failure distribution function of zero bias amount of degradation, F2
It (t) is the failure distribution function of constant multiplier amount of degradation,Between optical fibre gyro zero bias amount of degradation and constant multiplier amount of degradation
Related coefficient estimated value,Value is obtained by Bayes's Parameter Estimation Method；
It is describedValue is specifically referred to by Bayes's Parameter Estimation Method:
By the failure distribution function F of zero bias amount of degradation1(t), the failure distribution function F of constant multiplier amount of degradation2(t) it calculates
T outjMoment functional value (F1(tj),F2(tj)), the log-likelihood function of Copula function isFurther utilize Bayes's Parameter Estimation Method
Obtain related coefficient estimated valueCorresponding Bayesian formula are as follows: and P (α | (F1(tj),F2(tj)))∝π(α)·L(F1(tj),F2
(tj) | α), and P in formula (α | (F1(tj),F2(tj))) be parameter alpha Posterior distrbutionp, π (α) be spindleless roller.
The step (5) specifically refers to:
R in formula1(t) indicate zero bias performance degradation amount can
By spending function, R2(t) Reliability Function of constant multiplier performance degradation amount is indicated,For zero bias and scale
Factor degradation failure joint distribution function；It is generated by optical fibre gyro Reliability Synthesis model and is exported including optical fibre gyro reliability
The detection data of information.
It is described that μ is obtained by Maximum Likelihood Estimation Method1,σ1,μ2,σ2Estimated value the following steps are included:
(1a) optical fibre gyro zero bias degraded data form are as follows:
Constant multiplier degraded data form are as follows:
Wherein i=1 ..., n, j=1 ..., m, n are total sample number, and m is measurement moment sum, and initial time data are moved back
Change amount is 0, by formula Δ x1,i(tj)=x1,i(tj)-x1,i(tj-1), Δ x2,i(tj)=x2,i(tj)-x2,i(tj-1) calculate separately
Obtain zero bias degeneration increment between the adjacent measurement moment:
It degenerates with constant multiplier
Increment:
(1b) according to Maximum Likelihood Estimation Method, by zero bias degeneration increment Delta X1,i(tj) obtain zero bias degradation ratio and zero bias expansion
Dissipate coefficient estimated value:By constant multiplier degeneration increment Delta X2,i(tj)
Obtain constant multiplier degradation ratio and constant multiplier diffusion coefficient estimated value:
Another object of the present invention is to provide a kind of single axis fiber gyro reliability of the implementation based on polynary performance degradation
The system of detection method, comprising:
Power supply unit ,+5V voltage requirement needed for protection optical fibre gyro meets its work simultaneously；
Detection platform provides the detection environment of optical fibre gyro, realizes the performance detection of optical fibre gyro；
Data acquisition module realizes the acquisition of optical fibre gyro output data and is transmitted to computer；
Computer carries out processing analysis to the data sent through data acquisition module, completes fiber optic gyroscope performance ginseng
The display and storage of data are realized in several calibration；
The detection platform includes temperature control box and uniaxial integrated turntable, and optical fibre gyro is placed in temperature control box；
The data acquisition module includes:
The voltage signal of optical fibre gyro output or current signal are converted to what computer can identify etc. by A/D converter
Imitate digital signal；
Data buffering module, plays the role of data buffering, is connected between A/D converter and host, and A/D converter produces
Raw data are first stored in buffer, take data away by computer after data are filled in buffer；
Control circuit realizes the control read to the conversion of Optical Fiber Gyroscope and computer data；
Usb circuit realizes the transmission of data, by acquisition data transmission to computer.
The control circuit includes:
USB controller controls the normal operation of equipment in the transmission and all USB interfaces and interface of data；
Logic control circuit, the control signal that reception USB controller issues, generation tri-state buffer circuit and clock circuit
Control signal；
Tri-state buffer circuit realizes that data of optical fiber gyroscope is transferred to static RAM by AD9225 chip, is when being high-impedance state
The data transmission between static state RAM and USB controller is realized when high and low level state；
Clock circuit, the clock signal and conversion that AD9225 chip is generated by control sequential logic circuit start letter
Number, the clock signal of address generator and adjustment A/D converter it is synchronous with the clock between static state RAM, guarantee circuit when
Sequence is correct；
Sequential logical circuit, by clock circuit control generate AD9225 chip clock signal and conversion start signal,
The clock signal of location generator；
Address generator is realized by counter, provides the read/write address signal of static RAM；
AD9225 chip provides 12 precision, the high speed analog-to-digital conversion of 25Msps；
Static RAM is data buffer, plays the role of data buffering.
As shown from the above technical solution, the present invention has the advantages that first, this system and the detection system based on RS232
It compares, this system solves that transmission rate is slow, unit time data throughout due to using high-speed a/d chip and USB interface
Low problem, data volume improve more than ten percentage points；Second, while realizing the acquisition and storage and basic of data
Processing function avoids and completes manually cumbersome, ensure that efficiency；Third, this method is when carrying out fail-safe analysis
The correlativity between polynary performance amount of degradation is fully considered, and using Frank Copula function to optical fibre gyro diversity
Energy amount of degradation carries out efficient coupling, has compared with current most of joint probability density methods used and state space method and builds
Mould is convenient, calculates simple advantage.
Detailed description of the invention
Fig. 1 is the composition block diagram of this system；
Fig. 2 is the schematic block circuit diagram of control circuit；
Fig. 3 is flow chart of the method for the present invention；
Fig. 4 is zero bias degraded data curve graph；
Fig. 5 is constant multiplier degraded data curve graph；
Fig. 6 is zero bias and constant multiplier amount of degradation relational graph；
Fig. 7 is Bayes's parameter Estimation thought flow chart；
Fig. 8 is reliability curves figure.
Specific embodiment
As shown in figure 3, a kind of single axis fiber gyro reliability checking method based on polynary performance degradation, this method include
The step of following sequence:
(1) to optical fibre gyro zero bias amount of degradation X1(t) and constant multiplier amount of degradation X2(t) degeneration modeling is carried out:
(2) optical fibre gyro zero bias performance reliability model is constructed；
(3) optic fiber gyroscope graduation factor Reliability Function model is constructed；
(4) zero bias and constant multiplier degradation failure Joint Distribution letter based on Frank Copula construction of function optical fibre gyro
Number；
(5) the reliability collective model of optical fibre gyro is calculated, is generated by optical fibre gyro Reliability Synthesis model and defeated
It out include the detection data of optical fibre gyro reliability information.
The step (1) specifically refers to:
X1(t)=μ1t+σ1B(t)、X2(t)=μ2t+σ2B (t), in formula, B (t) is standard Brownian movement form, μ1,σ1Point
Not Biao Shi zero bias degradation ratio and zero bias diffusion coefficient, μ2,σ2Constant multiplier degradation ratio and constant multiplier diffusion coefficient are respectively indicated,
μ is obtained by Maximum Likelihood Estimation Method1,σ1,μ2,σ2Estimated value
The step (2) specifically refers to:
Calculate zero bias degradation failure distribution functionWhereinThe respectively estimated value of zero bias degradation ratio and zero bias diffusion coefficient, Φ () are standard normal distribution function, w1Indicate zero
Inclined degradation failure threshold value, constructs optical fibre gyro zero bias performance reliability model
The step (3) specifically refers to:
Calculate constant multiplier degradation failure distribution functionWhereinRespectively constant multiplier degradation ratio and mark
The estimated value of factor diffusion coefficient is spent, Φ () is standard normal distribution function, w2Indicate constant multiplier degradation failure threshold value, structure
Build optic fiber gyroscope graduation factor Reliability Function model
As shown in fig. 6, the step (4) specifically refers to:
Wherein, C () is tool
There is marginal distribution function F1(t)、F2(t) binary Copula function, F1It (t) is the failure distribution function of zero bias amount of degradation, F2
It (t) is the failure distribution function of constant multiplier amount of degradation,Between optical fibre gyro zero bias amount of degradation and constant multiplier amount of degradation
Related coefficient estimated value,Value is obtained by Bayes's Parameter Estimation Method；
As shown in fig. 7, describedValue is specifically referred to by Bayes's Parameter Estimation Method:
By the failure distribution function F of zero bias amount of degradation1(t), the failure distribution function F of constant multiplier amount of degradation2(t) it calculates
T outjMoment functional value (F1(tj),F2(tj)), the log-likelihood function of Copula function isFurther obtained using Bayes's Parameter Estimation Method
To related coefficient estimated valueCorresponding Bayesian formula are as follows: and P (α | (F1(tj),F2(tj)))∝π(α)·L(F1(tj),F2
(tj) | α), and P in formula (α | (F1(tj),F2(tj))) be parameter alpha Posterior distrbutionp, π (α) be spindleless roller.
The step (5) specifically refers to:
R in formula1(t) the reliable of zero bias performance degradation amount is indicated
Spend function, R2(t) Reliability Function of constant multiplier performance degradation amount is indicated,For zero bias and scale because
Number degradation failure joint distribution function；It is generated by optical fibre gyro Reliability Synthesis model and is exported and believe including optical fibre gyro reliability
The detection data of breath.
It is described that μ is obtained by Maximum Likelihood Estimation Method1,σ1,μ2,σ2Estimated value the following steps are included:
(1a) optical fibre gyro zero bias degraded data form are as follows:
Constant multiplier degraded data form are as follows:
Wherein i=1 ..., n, j=1 ..., m, n are total sample number, and m is measurement moment sum, and initial time data are moved back
Change amount is 0, by formula Δ x1,i(tj)=x1,i(tj)-x1,i(tj-1), Δ x2,i(tj)=x2,i(tj)-x2,i(tj-1) calculate separately
Obtain zero bias degeneration increment between the adjacent measurement moment:With constant multiplier degeneration increment:
(1b) according to Maximum Likelihood Estimation Method, by zero bias degeneration increment Delta X1,i(tj) obtain zero bias degradation ratio and zero bias expansion
Dissipate coefficient estimated value:By constant multiplier degeneration increment Delta X2,i
(tj) obtain constant multiplier degradation ratio and constant multiplier diffusion coefficient estimated value:
As shown in Figure 1, this system includes:
Power supply unit ,+5V voltage requirement needed for protection optical fibre gyro meets its work simultaneously；
Detection platform provides the detection environment of optical fibre gyro, realizes the performance detection of optical fibre gyro；
Data acquisition module realizes the acquisition of optical fibre gyro output data and is transmitted to computer；
Computer carries out processing analysis to the data sent through data acquisition module, completes fiber optic gyroscope performance ginseng
The display and storage of data are realized in several calibration；
The detection platform includes temperature control box and uniaxial integrated turntable, and optical fibre gyro is placed in temperature control box；
The data acquisition module includes:
The voltage signal of optical fibre gyro output or current signal are converted to what computer can identify etc. by A/D converter
Imitate digital signal；
Data buffering module, plays the role of data buffering, is connected between A/D converter and host, and A/D converter produces
Raw data are first stored in buffer, take data away by computer after data are filled in buffer；
Control circuit realizes the control read to the conversion of Optical Fiber Gyroscope and computer data；
Usb circuit realizes the transmission of data, by acquisition data transmission to computer.
As shown in Fig. 2, the control circuit includes:
USB controller controls the normal operation of equipment in the transmission and all USB interfaces and interface of data；
Logic control circuit, the control signal that reception USB controller issues, generation tri-state buffer circuit and clock circuit
Control signal；
Tri-state buffer circuit realizes that data of optical fiber gyroscope is transferred to static RAM by AD9225 chip, is when being high-impedance state
The data transmission between static state RAM and USB controller is realized when high and low level state；
Clock circuit, the clock signal and conversion that AD9225 chip is generated by control sequential logic circuit start letter
Number, the clock signal of address generator and adjustment A/D converter it is synchronous with the clock between static state RAM, guarantee circuit when
Sequence is correct；
Sequential logical circuit, by clock circuit control generate AD9225 chip clock signal and conversion start signal,
The clock signal of location generator；
Address generator is realized by counter, provides the read/write address signal of static RAM；
AD9225 chip provides 12 precision, the high speed analog-to-digital conversion of 25Msps；
Static RAM is data buffer, plays the role of data buffering.
Below in conjunction with Fig. 1 to 8, the present invention is further illustrated.
As shown in Figure 1, optical fibre gyro is placed in temperature control box, it is fixed by locating clip, and keeps optical fibre gyro
Perpendicular to the flat surface of uniaxial integrated turntable, uniaxial integration turntable and temperature control box are optical fiber in the direction of input reference axis IRA
Gyro provides experimental enviroment, the voltage of+5V needed for power supply unit provides optical fibre gyro work, the output signal warp of optical fibre gyro
It crosses A/D converter to be converted, the data after conversion are first stored in data buffer, when the data of data buffer are filled with
Afterwards, data are read by computer, control circuit controls the conversion of Optical Fiber Gyroscope and the reading of computer data, meter
Calculation machine is analyzed and processed after collecting data, realizes the calibration of optical fibre gyro zero bias and constant multiplier, and realizes drawing for data
Figure and display.
Selection 3 carry out analysis of experiments with a batch of single axis fiber gyro test sample, and temperature control box temperature controls 60 DEG C
And stablize 1h and preheated, optical fibre gyro power supply is then connected, output valve is measured with Fixed Time Interval 168h, measures 25 altogether
Secondary, Optical Fiber Gyroscope acquires through computer and analyzes processing, obtains it after demarcating to its zero bias and constant multiplier
Zero bias and constant multiplier degraded data are as shown in table 1, table 2, and it is as shown in Figure 4, Figure 5 to make degenerated curve respectively, by Fig. 4, Fig. 5
It can be seen that 3 optical fibre gyro test sample zero bias and constant multiplier have significant degradation trend.
1 zero bias degraded data of table (° h)
2 constant multiplier degraded data (10e-6) of table
By table 1,2 data of table, zero bias degeneration increment, constant multiplier degeneration incremental data is calculated as shown in table 3, table 4；
3 zero bias degeneration increment of table
4 constant multiplier degeneration increment of table
As shown in figure 8, its abscissa indicates time, unit h, ordinate is optical fibre gyro comprehensive reliability function curve
The reliability of corresponding time carries out durability analysis according to above-mentioned Reliability Function, and the results are shown in Table 5 for analysis: after 31175h,
The reliability of optical fibre gyro is 0.97；After 31941h, optical fibre gyro reliability is 0.95；After 34693h, optical fibre gyro can
It is 0.8 by degree；After 39939h, optical fibre gyro reliability is 0.3.
Table 5
In conclusion the present invention comprehensively considers zero bias and constant multiplier performance to the reliability effect of optical fibre gyro, pass through
Test data needed for optical fibre gyro reliability detection system obtains calculates optical fibre gyro reliability comprehensive function, and it is current right to obtain
The tested optical fiber gyro reliability index answered, the current tested optical fiber gyro reliability level of visual evaluation are the life of optical fibre gyro
It produces or designs, the technical support of product improvement is provided.
Claims (9)
1. a kind of single axis fiber gyro reliability checking method based on polynary performance degradation, it is characterised in that: this method includes
The step of following sequence:
(1) to optical fibre gyro zero bias amount of degradation X1(t) and constant multiplier amount of degradation X2(t) degeneration modeling is carried out:
(2) optical fibre gyro zero bias performance reliability model is constructed；
(3) optic fiber gyroscope graduation factor Reliability Function model is constructed；
(4) zero bias and constant multiplier degradation failure joint distribution function based on Frank Copula construction of function optical fibre gyro；
(5) the reliability collective model of optical fibre gyro is calculated, generated by optical fibre gyro Reliability Synthesis model and exports packet
Include the detection data of optical fibre gyro reliability information.
2. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature
Be: the step (1) specifically refers to:
X1(t)=μ1t+σ1B(t)、X2(t)=μ2t+σ2B (t), in formula, B (t) is standard Brownian movement form, μ1,σ1Table respectively
Show zero bias degradation ratio and zero bias diffusion coefficient, μ2,σ2Constant multiplier degradation ratio and constant multiplier diffusion coefficient are respectively indicated, by pole
The maximum-likelihood estimation technique obtains μ1,σ1,μ2,σ2Estimated value
3. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature
Be: the step (2) specifically refers to:
Calculate zero bias degradation failure distribution functionWhereinThe respectively estimated value of zero bias degradation ratio and zero bias diffusion coefficient, Φ () are standard normal distribution function, w1Indicate zero
Inclined degradation failure threshold value, constructs optical fibre gyro zero bias performance reliability model
4. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature
Be: the step (3) specifically refers to:
Calculate constant multiplier degradation failure distribution function
WhereinRespectively constant multiplier degradation ratio
With the estimated value of constant multiplier diffusion coefficient, Φ () is standard normal distribution function, w2Indicate constant multiplier degradation failure threshold
Value constructs optic fiber gyroscope graduation factor Reliability Function model
5. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature
Be: the step (4) specifically refers to:
Wherein, C () is with side
Edge distribution function F1(t)、F2(t) binary Copula function, F1It (t) is the failure distribution function of zero bias amount of degradation, F2(t) it is
The failure distribution function of constant multiplier amount of degradation,For the correlation between optical fibre gyro zero bias amount of degradation and constant multiplier amount of degradation
Coefficient estimated value,Value is obtained by Bayes's Parameter Estimation Method；
It is describedValue is specifically referred to by Bayes's Parameter Estimation Method:
By the failure distribution function F of zero bias amount of degradation1(t), the failure distribution function F of constant multiplier amount of degradation2(t) t is calculatedj
Moment functional value (F1(tj),F2(tj)), the log-likelihood function of Copula function isFurther obtained using Bayes's Parameter Estimation Method
To related coefficient estimated valueCorresponding Bayesian formula are as follows: and P (α | (F1(tj),F2(tj)))∝π(α)·L(F1(tj),F2
(tj) | α), and P in formula (α | (F1(tj),F2(tj))) be parameter alpha Posterior distrbutionp, π (α) be spindleless roller.
6. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature
Be: the step (5) specifically refers to:
R in formula1(t) the reliability letter of zero bias performance degradation amount is indicated
Number, R2(t) Reliability Function of constant multiplier performance degradation amount is indicated,It is moved back for zero bias and constant multiplier
Change failure joint distribution function；It is generated by optical fibre gyro Reliability Synthesis model and is exported including optical fibre gyro reliability information
Detection data.
7. the single axis fiber gyro reliability checking method according to claim 2 based on polynary performance degradation, feature
It is: described that μ is obtained by Maximum Likelihood Estimation Method1,σ1,μ2,σ2Estimated value the following steps are included:
(1a) optical fibre gyro zero bias degraded data form are as follows:
Constant multiplier degraded data form are as follows:
Wherein i=1 ..., n, j=1 ..., m, n are total sample number, and m is measurement moment sum, initial time data degradation amount
It is 0, by formula Δ x1,i(tj)=x1,i(tj)-x1,i(tj-1), Δ x2,i(tj)=x2,i(tj)-x2,i(tj-1) calculate separately to obtain
Zero bias degeneration increment between the adjacent measurement moment:
With constant multiplier degeneration increment:
(1b) according to Maximum Likelihood Estimation Method, by zero bias degeneration increment Delta X1,i(tj) obtain zero bias degradation ratio and zero bias diffusion coefficient
Estimated value:By constant multiplier degeneration increment Delta X2,i(tj) obtain
Constant multiplier degradation ratio and constant multiplier diffusion coefficient estimated value:
8. implementing the single axis fiber gyro reliability detection described in any one of any one of claims 1 to 77 based on polynary performance degradation
The system of method, it is characterised in that: include:
Power supply unit ,+5V voltage requirement needed for protection optical fibre gyro meets its work simultaneously；
Detection platform provides the detection environment of optical fibre gyro, realizes the performance detection of optical fibre gyro；
Data acquisition module realizes the acquisition of optical fibre gyro output data and is transmitted to computer；
Computer carries out processing analysis to the data sent through data acquisition module, completes fiber optic gyroscope performance parameter
Calibration, realizes the display and storage of data；
The detection platform includes temperature control box and uniaxial integrated turntable, and optical fibre gyro is placed in temperature control box；
The data acquisition module includes:
The voltage signal of optical fibre gyro output or current signal are converted to the equivalent number that computer can identify by A/D converter
Word signal；
Data buffering module, plays the role of data buffering, is connected between A/D converter and host, what A/D converter generated
Data are first stored in buffer, take data away by computer after data are filled in buffer；
Control circuit realizes the control read to the conversion of Optical Fiber Gyroscope and computer data；
Usb circuit realizes the transmission of data, by acquisition data transmission to computer.
9. system according to claim 8, it is characterised in that: the control circuit includes:
USB controller controls the normal operation of equipment in the transmission and all USB interfaces and interface of data；
Logic control circuit receives the control signal that USB controller issues, and generates the control of tri-state buffer circuit and clock circuit
Signal；
Tri-state buffer circuit realizes that data of optical fiber gyroscope is transferred to static RAM by AD9225 chip, is high and low when being high-impedance state
The data transmission between static state RAM and USB controller is realized when level state；
Clock circuit, generated by control sequential logic circuit AD9225 chip clock signal and conversion start signal,
The clock signal and adjustment A/D converter of location generator are synchronous with the clock between static state RAM, are guaranteeing the timing of circuit just
Really；
Sequential logical circuit, the clock signal for generating AD9225 chip is controlled by clock circuit and conversion start signal, address are sent out
The clock signal of raw device；
Address generator is realized by counter, provides the read/write address signal of static RAM；
AD9225 chip provides 12 precision, the high speed analog-to-digital conversion of 25Msps；
Static RAM is data buffer, plays the role of data buffering.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910408484.6A CN110135071B (en) | 2019-05-16 | 2019-05-16 | Method and system for detecting reliability of single-axis fiber-optic gyroscope based on multi-element performance degradation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910408484.6A CN110135071B (en) | 2019-05-16 | 2019-05-16 | Method and system for detecting reliability of single-axis fiber-optic gyroscope based on multi-element performance degradation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110135071A true CN110135071A (en) | 2019-08-16 |
| CN110135071B CN110135071B (en) | 2022-09-27 |
Family
ID=67574612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910408484.6A Active CN110135071B (en) | 2019-05-16 | 2019-05-16 | Method and system for detecting reliability of single-axis fiber-optic gyroscope based on multi-element performance degradation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110135071B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111678535A (en) * | 2020-04-27 | 2020-09-18 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Accelerated test method for reliability of fiber-optic gyroscope |
| CN113124899A (en) * | 2021-03-23 | 2021-07-16 | 西安航天精密机电研究所 | Method for acquiring variable-temperature scale factor of fiber optic gyroscope based on simulation technology |
| CN115824264A (en) * | 2023-02-23 | 2023-03-21 | 中国船舶集团有限公司第七〇七研究所 | Method for evaluating and improving process reliability of hollow-core microstructure fiber-optic gyroscope |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014197139A1 (en) * | 2013-06-07 | 2014-12-11 | Raytheon Applied Signal Technology, Inc. | System and method for distribution free target detection in a dependent non-gaussian background |
| CN109033710A (en) * | 2018-08-30 | 2018-12-18 | 电子科技大学 | A kind of momenttum wheel reliability estimation method based on more performance degradations |
-
2019
- 2019-05-16 CN CN201910408484.6A patent/CN110135071B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014197139A1 (en) * | 2013-06-07 | 2014-12-11 | Raytheon Applied Signal Technology, Inc. | System and method for distribution free target detection in a dependent non-gaussian background |
| CN109033710A (en) * | 2018-08-30 | 2018-12-18 | 电子科技大学 | A kind of momenttum wheel reliability estimation method based on more performance degradations |
Non-Patent Citations (1)
| Title |
|---|
| 毛端海等: "基于多元性能退化量光纤陀螺贮存寿命综合评估", 《计算机测量与控制》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111678535A (en) * | 2020-04-27 | 2020-09-18 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Accelerated test method for reliability of fiber-optic gyroscope |
| CN113124899A (en) * | 2021-03-23 | 2021-07-16 | 西安航天精密机电研究所 | Method for acquiring variable-temperature scale factor of fiber optic gyroscope based on simulation technology |
| CN115824264A (en) * | 2023-02-23 | 2023-03-21 | 中国船舶集团有限公司第七〇七研究所 | Method for evaluating and improving process reliability of hollow-core microstructure fiber-optic gyroscope |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110135071B (en) | 2022-09-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mu et al. | Conditional nonlinear optimal perturbation and its applications | |
| CN110135071A (en) | Single axis fiber gyro reliability checking method and system based on polynary performance degradation | |
| CN107870001B (en) | A kind of magnetometer bearing calibration based on ellipsoid fitting | |
| CN112824828B (en) | Laser tracker station position determination method and system, electronic device and medium | |
| CN101644563A (en) | Vision measuring system uncertainty evaluation method based on distance restraint fit point | |
| CN108344361A (en) | A kind of planar process vector quantity measurement method based on laser tracker | |
| Li et al. | Geometric error identification and analysis of rotary axes on five-axis machine tool based on precision balls | |
| CN107247193A (en) | Antenna near-field method of testing and device | |
| CN103868455A (en) | Method for achieving visual reconstruction of space coordinates of target point in water tank | |
| CN114049401A (en) | Binocular camera calibration method, device, equipment and medium | |
| Berlind et al. | Biased Galaxy Formation And Measurements Of β | |
| Wang et al. | Research on automatic reading recognition of index instruments based on computer vision | |
| CN105758422B (en) | A kind of test method of integration type closed-loop fiber optic gyroscope | |
| Lu et al. | Deep learning classification and recognition method for milling surface roughness combined with simulation data | |
| CN118050538A (en) | Three-dimensional wind direction detection method and system | |
| Qian et al. | Research on Stability of Gray Value of Excited‐State Fluorescent Oil Film Based on Variable Light Vector Angle | |
| CN109508482A (en) | A kind of calculation method for complex-curved surface profile degree error uncertainty | |
| CN104713561A (en) | Precise orbit determination method for lunar probe | |
| Teodori et al. | Comments on the mass sheet degeneracy in cosmography analyses | |
| CN115032704A (en) | Magnetic anomaly detection method, system, medium, equipment and terminal | |
| CN113780739B (en) | Uncertainty evaluation method and system for impulse current measurement device | |
| CN108375337B (en) | Robot and method and device for measuring relative pose of process equipment of robot | |
| CN112556722B (en) | System error compensation method based on automatic selection of preferred sources | |
| Kling et al. | Study of errors in strong gravitational lensing | |
| Zheng et al. | A model-independent measurement of the spatial curvature using cosmic chronometers and the HII Hubble diagram |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |